{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "89dd4c03",
   "metadata": {},
   "source": [
    "### MatplotLib更多画图方式\n",
    "#### 散点图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "bdc364a1",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "9ba6604b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0xf46ae50>]"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = np.linspace(1,10,20)\n",
    "y = np.sin(x)\n",
    "plt.plot(x,y,'--r',\n",
    "        marker = 'o',\n",
    "        markersize=16, #散点（形状）的大小\n",
    "        linewidth=4, #线的宽度\n",
    "        markerfacecolor = 'green', #散点的填充颜色\n",
    "        markeredgecolor = 'blue', #散点的边框颜色\n",
    "        markeredgewidth = 4 #散点的边框宽度\n",
    "        ) #画散点图的方法\n",
    "# o . , x + v ^ < > s d p"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "49224d3a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.colorbar.Colorbar at 0xfd89cd0>"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#plt.scatter(x,y,marker='p') # 绘画散点图\n",
    "rng = np.random.RandomState(0)\n",
    "#四个随机数，100个值，分别代表x,y,颜色，大小\n",
    "x = rng.randn(100)\n",
    "y = rng.randn(100)\n",
    "colors = rng.randn(100)\n",
    "sizes = rng.randn(100)*1000\n",
    "plt.scatter(x,y,c=colors,s=sizes,alpha=0.3,cmap='viridis') #分别设置x,y,c=颜色列表，s=大小列表,alpha=透明度,cmap=颜色地图格式\n",
    "plt.colorbar() #显示散点图的颜色条"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "646aad28",
   "metadata": {},
   "source": [
    "### 柱状图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "0ac64d79",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([  2.,   9.,  24., 109., 190., 256., 236., 124.,  38.,  12.]),\n",
       " array([-3.74278491, -3.07643554, -2.41008617, -1.7437368 , -1.07738743,\n",
       "        -0.41103806,  0.25531131,  0.92166068,  1.58801005,  2.25435942,\n",
       "         2.92070879]),\n",
       " <BarContainer object of 10 artists>)"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data = np.random.randn(1000) # 1000个正态分布的随机数\n",
    "data2 = np.random.normal(-2,1,1000)\n",
    "plt.hist(data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "94da7e46",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([  3.,   5.,  14.,  18.,  34.,  59.,  84.,  98., 130., 134., 116.,\n",
       "        102.,  65.,  46.,  45.,  29.,   9.,   5.,   3.,   1.]),\n",
       " array([-4.91277168, -4.60153472, -4.29029776, -3.97906081, -3.66782385,\n",
       "        -3.35658689, -3.04534993, -2.73411298, -2.42287602, -2.11163906,\n",
       "        -1.80040211, -1.48916515, -1.17792819, -0.86669124, -0.55545428,\n",
       "        -0.24421732,  0.06701963,  0.37825659,  0.68949355,  1.00073051,\n",
       "         1.31196746]),\n",
       " <BarContainer object of 20 artists>)"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(data,\n",
    "        bins=20, #设置柱状的个数\n",
    "        alpha=0.5, #设置透明度\n",
    "        color='red', #柱形的内部颜色\n",
    "        #edgecolor='green', #柱形的边界颜色\n",
    "        stacked=True # 代表是否把同一范围的不同数据叠放\n",
    "        )\n",
    "plt.hist(data2,\n",
    "        bins=20, #设置柱状的个数\n",
    "        alpha=0.5, #设置透明度\n",
    "        color='blue', #柱形的内部颜色\n",
    "        #edgecolor='green', #柱形的边界颜色\n",
    "        stacked=True # 代表是否把同一范围的不同数据叠放\n",
    "        )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "66011816",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[-1.08387389 -0.30778453  1.94344502 ...  1.33760281  0.87591491\n",
      " -0.20551687]\n",
      "[ 0.50086314 -0.45823008  1.64060394 ... -0.64701595  1.06164468\n",
      " -0.00889725]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.colorbar.Colorbar at 0x10b6ed50>"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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eimlbZNeuXVGvN27cqKysLNXU1Oihhx6K5aEBAIgZ2iL24rrmorGxUZKUmZl5zfebm5vV3NwceR0KheISFwAAJrhDp724XS3S1tamuXPnavTo0Ro6dOg155SXlysQCERGXl5evMIDAAAuiVtyUVpaqvfee09btmy57pwFCxaosbExMmpra+MVHgAAN83Sn1sjHRpen0CMxaUtUlZWpp07d2r//v3q37//deelpqYqNTU1HiEBANBhtEXsxTS5CIfDeuqpp7Rt2zbt3btX+fn5sTwcAADx4XBBZ7KXLmKaXJSWlmrz5s3asWOHMjIyFAwGJUmBQEDp6emxPDQAAPBITNdcrF27Vo2NjRozZoz69esXGVu3bo3lYQEAiKn2toiTkcxi3hYBACDZWL6rw8n+ySzJTw8AAMQbDy4DAMAQV4vYI7kAAMCUz7o6nOyfxGiLAAAAV1G5AADAFE8us0VyAQCAIdZc2CO5AADAFGsubLHmAgAAuIrKBQAAplhzYYvkIpkl+B1Sw6FzXodgq/X7i70O4boqfvR/vQ7B1rjJQ70OwZZvanevQ7DXtZvXEeAGLJ8ly0Frw8m+nQFtEQAA4CoqFwAAmKItYovkAgAAQ5blsC2S5MkFbREAAOAqKhcAAJiiLWKL5AIAAFM+ObyJlmuRJKQkPz0AABBvVC4AADDEs0XskVwAAGCKZ4vYIrkAAMAUCzptseYCAAC4isoFAACGLN/V4WT/ZEZyAQCAKdoitpI8dwIAAPFG5QIAAEM8ct0eyQUAAKZoi9iiLQIAAFxF5QIAAFPcRMsWyQUAAIa4/bc92iIAAMBVJBcAAJhqb4s4GYbOnDmjr3/96+rTp4/S09N111136e233468Hw6HtXjxYvXr10/p6ekqLCzURx99FPUZ58+fV3Fxsfx+v3r16qWZM2fq4sWLjr+Ov0RyAQCAMevPV4x0ZMgsufjjH/+o0aNHq1u3bnrrrbf0/vvv61/+5V/Uu3fvyJxly5Zp1apVWrdunaqrq9WjRw8VFRXp0qVLkTnFxcU6duyYKioqtHPnTu3fv1+zZ89260uJYM0FAACG4r3m4uWXX1ZeXp42bNgQ2Zafnx/5dTgc1sqVK7Vw4UJNnjxZkvTmm28qOztb27dv17Rp0/TBBx9o165dOnz4sEaMGCFJWr16tR5++GEtX75cubm5HT6fv0TlAgCABPezn/1MI0aM0GOPPaasrCx96Utf0muvvRZ5/9SpUwoGgyosLIxsCwQCGjlypKqqqiRJVVVV6tWrVySxkKTCwkL5fD5VV1e7Gi/JBQAAplxacxEKhaJGc3PzNQ/3u9/9TmvXrtVtt92mX/ziF5ozZ47+4R/+QW+88YYkKRgMSpKys7Oj9svOzo68FwwGlZWVFfV+165dlZmZGZnj2tfj6qcBAPA50N4WcTIkKS8vT4FAIDLKy8uveby2tjbde++9+t73vqcvfelLmj17tmbNmqV169bF87RvGmsuAADwSG1trfx+f+R1amrqNef169dPQ4YMidp2xx136Kc//akkKScnR5JUV1enfv36RebU1dVp2LBhkTn19fVRn3HlyhWdP38+sr9bqFwAAGDKpbaI3++PGtdLLkaPHq0TJ05Ebfvwww81cOBASVcXd+bk5KiysjLyfigUUnV1tQoKCiRJBQUFamhoUE1NTWTOnj171NbWppEjR7r69VC5AADAVJwfXPb0009r1KhR+t73vqe/+7u/06FDh/Tqq6/q1Vdf/eTjLM2dO1cvvPCCbrvtNuXn52vRokXKzc3VlClTJF2tdEyYMCHSTrl8+bLKyso0bdo0V68UkUguAABIePfdd5+2bdumBQsWaOnSpcrPz9fKlStVXFwcmfPss8+qqalJs2fPVkNDgx588EHt2rVLaWlpkTmbNm1SWVmZxo0bJ5/Pp6lTp2rVqlWux0tyAQCAIctnyXLw8LGO7PvII4/okUceuf5nWpaWLl2qpUuXXndOZmamNm/ebHxsUyQXAACYinNbpLNhQScAAHAVlQsAAEz51KGHj0Xtn8RILgAAMBTvZ4t0NiQXToXDXkdwfS2XbjzHQ22b3F+h7KayZW95HcJ1jfKn3XiSh7r8zXivQ7BlBW7xOgR7VpL/szYZdPCx6VH7JzH+BAMAAFdRuQAAwBRXi9giuQAAwBTJhS3aIgAAwFVULgAAMOawcqHkrlyQXAAAYMrnuzqc7J/EkvvsAABA3FG5AADAFAs6bZFcAABgiuTCFm0RAADgKioXAACYonJhK+aVizVr1mjQoEFKS0vTyJEjdejQoVgfEgCA2Gq/WsTJSGIxPbutW7dq3rx5WrJkid555x3dc889KioqUn19fSwPCwBAbLVXLpyMJBbT5GLFihWaNWuWZsyYoSFDhmjdunXq3r27Xn/99VgeFgAAeChmyUVLS4tqampUWFj454P5fCosLFRVVdU192lublYoFIoaAAAkHCoXtmKWXHz88cdqbW1VdnZ21Pbs7GwFg8Fr7lNeXq5AIBAZeXl5sQoPAICOI7mwlVArShYsWKDGxsbIqK2t9TokAABgKGaXot5yyy3q0qWL6urqorbX1dUpJyfnmvukpqYqNTU1ViEBAOAOni1iK2Znl5KSouHDh6uysjKyra2tTZWVlSooKIjVYQEAiD3aIrZiehOtefPmqaSkRCNGjND999+vlStXqqmpSTNmzIjlYQEAgIdimlx87Wtf07lz57R48WIFg0ENGzZMu3bt+swiTwAAOhVLDu/Q6VokCSnmt/8uKytTWVlZrA8DAED8cPtvW8m9ogQAAMQdDy4DAMCQ5fPJcnDFh5N9OwOSCwAAjDm94iO52yIkFwAAmGLNha3krssAAIC4o3IBAIApKhe2SC4AADDF7b9tJffZAQCAuKNyAQCAKdoitkguAAAwRXJhi7YIAABwFZULAABMUbmwRXIBAIAprhaxldxnBwAA4o7KhVNtV7yO4LrCH9d6HYKtpt0HvQ7B1pP9M70O4bruWlTsdQi2fOMe8zoEe11TvY4AnR1tEVskFwAAmCK5sEVyAQCAKdZc2EruswMAAHFH5QIAAFOWHLZFXIskIZFcAABgijUXtmiLAAAAV1G5AADAFJULWyQXAACYshxeLWIld+Mguc8OAADEHZULAABM0RaxRXIBAIApkgtbtEUAAICrqFwAAGDK8jlblMmCTgAAEMVnOR8OvPTSS7IsS3Pnzo1su3TpkkpLS9WnTx/17NlTU6dOVV1dXdR+p0+f1qRJk9S9e3dlZWXpmWee0ZUr7j/dm+QCAABT7ZULJ6ODDh8+rPXr1+vuu++O2v7000/r5z//uX7yk59o3759Onv2rL7yla9E3m9tbdWkSZPU0tKiAwcO6I033tDGjRu1ePHiDsdyPSQXAAB0EhcvXlRxcbFee+019e7dO7K9sbFRP/rRj7RixQp9+ctf1vDhw7VhwwYdOHBABw8elCTt3r1b77//vv7t3/5Nw4YN08SJE/Xd735Xa9asUUtLi6txklwAAGCq/WoRJ0NSKBSKGs3NzbaHLS0t1aRJk1RYWBi1vaamRpcvX47afvvtt2vAgAGqqqqSJFVVVemuu+5SdnZ2ZE5RUZFCoZCOHTvm1jcjieQCAABzPp/zISkvL0+BQCAyysvLr3vILVu26J133rnmnGAwqJSUFPXq1Stqe3Z2toLBYGTOpxOL9vfb33MTV4sAAOCR2tpa+f3+yOvU1NTrzvv2t7+tiooKpaWlxSu8DqNyAQCAKZfaIn6/P2pcL7moqalRfX297r33XnXt2lVdu3bVvn37tGrVKnXt2lXZ2dlqaWlRQ0ND1H51dXXKycmRJOXk5Hzm6pH21+1z3EJyAQCAqThfLTJu3DgdPXpUR44ciYwRI0aouLg48utu3bqpsrIyss+JEyd0+vRpFRQUSJIKCgp09OhR1dfXR+ZUVFTI7/dryJAh7nwvn6AtAgBAgsvIyNDQoUOjtvXo0UN9+vSJbJ85c6bmzZunzMxM+f1+PfXUUyooKNADDzwgSRo/fryGDBmixx9/XMuWLVMwGNTChQtVWlp63YpJR5FcAABgypLDZ4u4FknEK6+8Ip/Pp6lTp6q5uVlFRUX64Q9/GHm/S5cu2rlzp+bMmaOCggL16NFDJSUlWrp0qeuxkFwAAGDqU1d8dHh/h/bu3Rv1Oi0tTWvWrNGaNWuuu8/AgQP1n//5n46PfSOsuQAAAK6icgEAgCkeuW6L5AIAAFM8FdUWyQUAAKYsh082TfLKRXKnTgAAIO6oXAAAYIq2iC2SCwAATLGg01Zyp04AACDuqFwAAGCKtogtkgsAAEz5HF4t4mTfTiC5UycAABB3VC4AADDFgk5bJBdOXbnidQTXFf5/F70OwVaPb033OgRbd+cM8DqE6/Ld8YDXIdjr5u7jm12X5H+xIw5Yc2Eruc8OAADEHZULAABMsaDTFskFAACmLMthW4TkAgAAfBoLOm2x5gIAALgqJsnF73//e82cOVP5+flKT0/X4MGDtWTJErW0tMTicAAAxFf71SJORhKLSVvk+PHjamtr0/r16/WFL3xB7733nmbNmqWmpiYtX748FocEACB+WNBpKybJxYQJEzRhwoTI61tvvVUnTpzQ2rVrSS4AAEhycVvQ2djYqMzMTNs5zc3Nam5ujrwOhUKxDgsAAHPcRMtWXM7u5MmTWr16tZ544gnbeeXl5QoEApGRl5cXj/AAADDTfrWIk5HEjJKL+fPny7Is23H8+PGofc6cOaMJEyboscce06xZs2w/f8GCBWpsbIyM2tpa8zMCAACeMmqLfOc739H06dNt59x6662RX589e1Zjx47VqFGj9Oqrr97w81NTU5WamuDPJAAAwOe7Opzsn8SMkou+ffuqb9++NzX3zJkzGjt2rIYPH64NGzbIl+RfJADg88RpayO52yIxWdB55swZjRkzRgMHDtTy5ct17ty5yHs5OTmxOCQAAEgQMUkuKioqdPLkSZ08eVL9+/ePei8cDsfikAAAxA9Xi9iKydlNnz5d4XD4mgMAgE6Pq0Vs8eAyAABMsaDTVnKfHQAAiDsqFwAAmOKR67ZILgAAMGVZDhd0JndyQVsEAAC4isoFAACmaIvYIrkAAMAU97mwldxnBwAA4o7KBQAApnzW1eFk/yRGcgEAgCnaIraS++wAAEDcUbkAAMAUV4vYIrkAAMAUbRFbJBcAABiyLEuWg+qDk307g+ROnQAAQNxRuQAAwBRtEVskFwAAmCK5sJXcZwcAAOKOygUAAKYsh3foTPIFnSQXAACYoi1ii+TCqS5dvI7guny5X/A6BHuJHl9aD68juD5f4v65AwCSCwAATHGHTlskFwAAmLIsh22R5E4ukrvpAwAA4o7KBQAApmiL2KJyAQCAqfarRZwMA+Xl5brvvvuUkZGhrKwsTZkyRSdOnIiac+nSJZWWlqpPnz7q2bOnpk6dqrq6uqg5p0+f1qRJk9S9e3dlZWXpmWee0ZUrVxx/HX+J5AIAAFM+y/kwsG/fPpWWlurgwYOqqKjQ5cuXNX78eDU1NUXmPP300/r5z3+un/zkJ9q3b5/Onj2rr3zlK5H3W1tbNWnSJLW0tOjAgQN64403tHHjRi1evNi1r6WdFQ6Hw65/qktCoZACgYAa/+e0/H6/1+Fc25UWryO4vpZLXkfQuXEpKtCphEIhBfoNUGNjY8x+ZrT/XPrjr3bI37Pjf0eELjap94OTOxzruXPnlJWVpX379umhhx5SY2Oj+vbtq82bN+urX/2qJOn48eO64447VFVVpQceeEBvvfWWHnnkEZ09e1bZ2dmSpHXr1um5557TuXPnlJKS0uHz+UtULgAAMOVSWyQUCkWN5ubmmzp8Y2OjJCkzM1OSVFNTo8uXL6uwsDAy5/bbb9eAAQNUVVUlSaqqqtJdd90VSSwkqaioSKFQSMeOHXPla2lHcgEAgKn2BZ1OhqS8vDwFAoHIKC8vv+Gh29raNHfuXI0ePVpDhw6VJAWDQaWkpKhXr15Rc7OzsxUMBiNzPp1YtL/f/p6buFoEAACP1NbWRrVFUlNTb7hPaWmp3nvvPf3qV7+KZWiOkFwAAGDKpWeL+P1+ozUXZWVl2rlzp/bv36/+/ftHtufk5KilpUUNDQ1R1Yu6ujrl5ORE5hw6dCjq89qvJmmf4xbaIgAAmHKpLXKzwuGwysrKtG3bNu3Zs0f5+flR7w8fPlzdunVTZWVlZNuJEyd0+vRpFRQUSJIKCgp09OhR1dfXR+ZUVFTI7/dryJAhDr6Mz6JyAQBAgistLdXmzZu1Y8cOZWRkRNZIBAIBpaenKxAIaObMmZo3b54yMzPl9/v11FNPqaCgQA888IAkafz48RoyZIgef/xxLVu2TMFgUAsXLlRpaelNtWNMkFwAAGAqzo9cX7t2rSRpzJgxUds3bNig6dOnS5JeeeUV+Xw+TZ06Vc3NzSoqKtIPf/jDyNwuXbpo586dmjNnjgoKCtSjRw+VlJRo6dKlHT+P6+A+F05xn4vkxX0ugE4lrve5OFzh/D4X9/1NTGP1EmsuAACAq2iLAABgyLIsWQ4ePuZk386A5AIAAFOW5XDNBckFAAD4NB65bos1FwAAwFVULgAAMObwUtQk/7c9yQUAAKZoi9hK7tQJAADEHZULAABM+XxXh5P9kxjJBQAApmiL2Eru1AkAAMQdlQsAAEzF+cFlnQ3JBQAApmiL2Eru1AkAAMQdlQsAAIxZnwwn+ycvkgsAAEzRFrFFcgEAgCmSC1usuQAAAK6icgEAgDHWXNghuQAAwBRtEVu0RQAAgKtiXrlobm7WyJEj9etf/1rvvvuuhg0bFutDxleXBC7+pPXwOgJ7iX6HuiT/lwUAB+iK2Ir53+7PPvuscnNzY30YAADiyHJhJK+YJhdvvfWWdu/ereXLl8fyMAAAIIHErKZfV1enWbNmafv27erevftN7dPc3Kzm5ubI61AoFKvwAADoOBZ02opJ5SIcDmv69Ol68sknNWLEiJver7y8XIFAIDLy8vJiER4AAM5Y+nOC0aHh9QnEllFyMX/+fFmWZTuOHz+u1atX68KFC1qwYIFRMAsWLFBjY2Nk1NbWGu0PAAC8Z9QW+c53vqPp06fbzrn11lu1Z88eVVVVKTU1Neq9ESNGqLi4WG+88cY1901NTf3MPgAAJB4uF7FjlFz07dtXffv2veG8VatW6YUXXoi8Pnv2rIqKirR161aNHDnSPEoAABIJay5sxWRB54ABA6Je9+zZU5I0ePBg9e/fPxaHBAAgjqhc2EnwuxgBAIDOJi63lxw0aJDC4XA8DgUAQOzRFrGVwPeuBgAgQZFc2KItAgAAXEXlAgAAYyzotENyAQCAofYbRzrZP5nRFgEAAK6icgEAgCkWdNoiuQAAwBhrLuzQFgEAAK6icgEAgDGHbZEkr1yQXAAAYIo1F7ZILgAAMMaaCzusuQAAAK6icgEAgCnaIrZILgAAMEVXxBZtEQAA4CoqFwAAGKN0YYfkAgAAU6y5sEVbBAAAuIrKBQAApqhc2CK5AADAGGsu7NAWAQAArqJyAQCAKUsO2yKuRZKQqFwAAGCqfc2Fk9EBa9as0aBBg5SWlqaRI0fq0KFDLp+YO0guAAAwZrkwzGzdulXz5s3TkiVL9M477+iee+5RUVGR6uvrXTgfd5FcAADQCaxYsUKzZs3SjBkzNGTIEK1bt07du3fX66+/7nVon5HQay7C4bAkKXThgseR2Ai3eR3B9X3y/SUsK8Fz2yS/VAxINu0/K8Jx+LsvdPGio78jQhcvXv3/UChqe2pqqlJTUz8zv6WlRTU1NVqwYEFkm8/nU2FhoaqqqjocR6wkdHJx4ZM/KHl/dafHkQAAOosLFy4oEAjE5LNTUlKUk5Pjys+lnj17Ki8vL2rbkiVL9Pzzz39m7scff6zW1lZlZ2dHbc/Oztbx48cdx+K2hE4ucnNzVVtbq4yMDFkJ+q/IUCikvLw81dbWyu/3ex2OY5xPYuN8Ehvn461wOKwLFy4oNzc3ZsdIS0vTqVOn1NLS4vizwuHwZ362Xatq0RkldHLh8/nUv39/r8O4KX6/v1P8x3ezOJ/ExvkkNs7HO7GqWHxaWlqa0tLSYn6cT7vlllvUpUsX1dXVRW2vq6tTTk5OXGO5GQne9AYAACkpKRo+fLgqKysj29ra2lRZWamCggIPI7u2hK5cAACAq+bNm6eSkhKNGDFC999/v1auXKmmpibNmDHD69A+g+TCodTUVC1ZsiRp+mScT2LjfBIb54NY+trXvqZz585p8eLFCgaDGjZsmHbt2vWZRZ6JwArH45odAADwucGaCwAA4CqSCwAA4CqSCwAA4CqSCwAA4CqSCxf97d/+rQYMGKC0tDT169dPjz/+uM6ePet1WB3y+9//XjNnzlR+fr7S09M1ePBgLVmyxJW70nnlxRdf1KhRo9S9e3f16tXL63A6pLM8bvlG9u/fr0cffVS5ubmyLEvbt2/3OiRHysvLdd999ykjI0NZWVmaMmWKTpw44XVYHbZ27VrdfffdkZtnFRQU6K233vI6LHQiJBcuGjt2rH784x/rxIkT+ulPf6rf/va3+upXv+p1WB1y/PhxtbW1af369Tp27JheeeUVrVu3Tv/4j//odWgd1tLSoscee0xz5szxOpQO6UyPW76RpqYm3XPPPVqzZo3Xobhi3759Ki0t1cGDB1VRUaHLly9r/Pjxampq8jq0Dunfv79eeukl1dTU6O2339aXv/xlTZ48WceOHfM6NHQWYcTMjh07wpZlhVtaWrwOxRXLli0L5+fnex2GYxs2bAgHAgGvwzB2//33h0tLSyOvW1tbw7m5ueHy8nIPo3JOUnjbtm1eh+Gq+vr6sKTwvn37vA7FNb179w7/67/+q9dhoJOgchEj58+f16ZNmzRq1Ch169bN63Bc0djYqMzMTK/D+Fxqf9xyYWFhZFsiP275866xsVGSkuK/l9bWVm3ZskVNTU0JeZtpJCaSC5c999xz6tGjh/r06aPTp09rx44dXofkipMnT2r16tV64oknvA7lc8nuccvBYNCjqHAtbW1tmjt3rkaPHq2hQ4d6HU6HHT16VD179lRqaqqefPJJbdu2TUOGDPE6LHQSJBc3MH/+fFmWZTuOHz8emf/MM8/o3Xff1e7du9WlSxd94xvfUDiBboJqej6SdObMGU2YMEGPPfaYZs2a5VHk19aR8wFiqbS0VO+99562bNnidSiOfPGLX9SRI0dUXV2tOXPmqKSkRO+//77XYaGT4PbfN3Du3Dn97//+r+2cW2+9VSkpKZ/Z/oc//EF5eXk6cOBAwpQTTc/n7NmzGjNmjB544AFt3LhRPl9i5aMd+f3ZuHGj5s6dq4aGhhhH556WlhZ1795d//Ef/6EpU6ZEtpeUlKihoaFTV8gsy9K2bduizquzKisr044dO7R//37l5+d7HY6rCgsLNXjwYK1fv97rUNAJ8OCyG+jbt6/69u3boX3b2tokSc3NzW6G5IjJ+Zw5c0Zjx47V8OHDtWHDhoRLLCRnvz+dyacft9z+Q7j9cctlZWXeBgeFw2E99dRT2rZtm/bu3Zt0iYV09c9bIv1dhsRGcuGS6upqHT58WA8++KB69+6t3/72t1q0aJEGDx6cMFULE2fOnNGYMWM0cOBALV++XOfOnYu8l5OT42FkHXf69GmdP39ep0+fVmtrq44cOSJJ+sIXvqCePXt6G9xN6EyPW76Rixcv6uTJk5HXp06d0pEjR5SZmakBAwZ4GFnHlJaWavPmzdqxY4cyMjIi62ACgYDS09M9js7cggULNHHiRA0YMEAXLlzQ5s2btXfvXv3iF7/wOjR0Ft5erJI8fvOb34THjh0bzszMDKempoYHDRoUfvLJJ8N/+MMfvA6tQzZs2BCWdM3RWZWUlFzzfH75y196HdpNW716dXjAgAHhlJSU8P333x8+ePCg1yF1yC9/+ctr/l6UlJR4HVqHXO+/lQ0bNngdWod885vfDA8cODCckpIS7tu3b3jcuHHh3bt3ex0WOhHWXAAAAFclXhMdAAB0aiQXAADAVSQXAADAVSQXAADAVSQXAADAVSQXAADAVSQXAADAVSQXAADAVSQXAADAVSQXAADAVSQXAADAVSQXAADAVf8fr7WvqpSRUnoAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "mean=[0,0]\n",
    "cov = [[1,1],[1,2]]\n",
    "x,y = np.random.multivariate_normal(mean,cov,10000).T\n",
    "print(x)\n",
    "print(y)\n",
    "plt.hist2d(x,y,cmap='Reds')\n",
    "plt.colorbar()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2e5c4d66",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
